It gradually progresses from foundational AI tasks to advanced neural network applications, using platforms such as Python, OpenCV, Google Colab, and TensorFlow.

Optical Character Recognition (OCR) has revolutionized the way that businesses automate document processing. However, the quality and accuracy of the technology doesn’t cut it for every application.

This wiki describes how to work with object detection models trained using TensorFlow Object Detection API. OpenCV 3.4.1 or higher is required. Deep learning networks in TensorFlow are represented as ...

This letter presents a new method for identifying individual cattle for the purpose of tracking and efficiently measuring their daily water intake using a vision-based machine learning system. In ...

A Vision-Based Cattle Recognition System Using TensorFlow for Livestock Water Intake Monitoring This letter presents a new method for identifying individual cattle for the purpose of tracking and ...

Face Recognition using Tensorflow This is a TensorFlow implementation of the face recognizer described in the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering". The project also ...